The Trade Desk · 2 weeks ago
Senior Data Scientist, Search and Recommender Systems- VenturaOS
San Jose, CA
Full-time
Hybrid
Senior Level
$166K/yr - $305K/yr
5+ years expThe Trade Desk is a company focused on building innovative technology for the advertising supply chain. They are seeking an experienced Data Scientist to contribute to their VenturaOS project, driving technical projects and developing AI-based solutions in a collaborative environment.
AdvertisingDigital MediaInformation TechnologyInternetMobileNative AdvertisingSocialSoftwareVideo Advertising
Responsibilities
You have a sustained track record of making significant, self-directed, and end-to-end contributions to large and impactful AI-based projects
You will be driving technical projects and providing leadership in a groundbreaking and fast-paced environment
This includes task planning, conducting code reviews, and individual code contributions
You have a strong sense of data intuition
You can work from first principles and intuition to develop solutions and adapt them to a unique environment
You have the passion and ability to contribute to the process of discovering what will delight our clients
You can pitch your ideas to different audiences at all levels
You embrace risks, make smart investments, and stay agile when priorities shift
You work with confidence and without ego
You have strongly held, defensible ideas, and advocate for what you believe is right
You are also adept at identifying and evaluating trade-offs, willing to be proven wrong, and quick to support your teammates
You value, seek out, and foster diversity
You are a jack-of-all-trades and master of some in the field of AI
You have a track record of turning the latest AI publications into solutions for real-world problems or ideas for novel product creation
You stay up to date with the latest advancements in AI
You are comfortable working on an agile, distributed team spanning multiple time zones and continents
You can communicate effectively across both technical and non-technical audiences
You have strong programming and big data processing skills, with experience in making machine learning or data mining algorithms work on massive amounts of data
You know how to get your ML models production ready
You know how to work with your team to get your code/model up and running into production
Qualification
Required
Proven Expertise: You have a sustained track record of making significant, self-directed, and end-to-end contributions to large and impactful AI-based projects. You think beyond just the task at hand to deeply understand the 'why' behind what you are doing
Technical Leadership: You will be driving technical projects and providing leadership in a groundbreaking and fast-paced environment. This includes task planning, conducting code reviews, and individual code contributions
Data Intuition: You have a strong sense of data intuition. At our scale, many off-the-shelf modeling techniques (open source and enterprise) simply don't work. You can work from first principles and intuition to develop solutions and adapt them to a unique environment
Product Focus: You have a product-focused mindset. You have the passion and ability to contribute to the process of discovering what will delight our clients and push forward one of the world's largest and most influential industries toward a vision of openness, transparency, and evidence-based decision-making. You can pitch your ideas to different audiences at all levels
Start-up Mentality: You are accustomed to start-up culture. You embrace risks, make smart investments, and stay agile when priorities shift
Collaborative Confidence: You work with confidence and without ego. Our research data scientists have deep knowledge and exercise a high degree of leadership in their daily work. You have strongly held, defensible ideas, and advocate for what you believe is right. You are also adept at identifying and evaluating trade-offs, willing to be proven wrong, and quick to support your teammates
Diversity and Inclusion: You value, seek out, and foster diversity. We are a global team from many diverse backgrounds, with different experiences and perspectives. You welcome ideas that are different from your own and are skilled at finding and building from common ground
Innovative Thinking: You are a creative thinker, not bound by 'the way things have always been done.' What you know is less important than how well you learn and innovate. We don't need research data scientists who know all the answers; we need research data scientists who can invent the answers no one has thought of yet, to the questions yet to be asked
Versatile Expertise: You are a jack-of-all-trades and master of some in the field of AI. Ideally, you have 5+ years of experience working with AI-related research and applications. You may have an advanced degree in a CS/AI/ECE field, but it's not a strict requirement. What and how you can contribute is what's most important to us
Innovative Application: You have a track record of turning the latest AI publications into solutions for real-world problems or ideas for novel product creation. You stay up to date with the latest advancements in AI
Agile Collaboration: You are comfortable working on an agile, distributed team spanning multiple time zones and continents
Effective Communication: You can communicate effectively across both technical and non-technical audiences
Technical Proficiency: You have strong programming and big data processing skills, with experience in making machine learning or data mining algorithms work on massive amounts of data
Product focus: You know how to get your ML models production ready. You know how to work with your team to get your code/model up and running into production
Preferred
Specialized Knowledge: Deep expertise and extensive hands-on experience in some of the following areas is a plus: Recommendation Systems, Natural Language Processing, Search, Information Retrieval, Large Language Models, Deep Learning, Generative AI technologies, Large-scale data mining
Benefits
Comprehensive healthcare (medical, dental, and vision) with premiums paid in full for employees and dependents
Retirement benefits such as a 401k plan and company match
Short and long-term disability coverage
Basic life insurance
Well-being benefits
Reimbursement for certain tuition expenses
Parental leave
Sick time of 1 hour per 30 hours worked
Vacation time for full-time employees up to 120 hours thru the first year and 160 hours thereafter
Around 13 paid holidays per year
Employees can also purchase The Trade Desk stock at a discount through The Trade Desk’s Employee Stock Purchase Plan
The Trade Desk also offers a competitive benefits package.
Company
The Trade Desk
The Trade Desk is an online demand-side platform that provides buying tools for digital media buyers.
1001-5000 employees
H1B Sponsorship
The Trade Desk has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (57)
2024 (49)
2023 (38)
2022 (39)
2021 (31)
2020 (15)
Funding
Current Stage
Public CompanyTotal Funding
$257.5MKey Investors
Wellington ManagementBridge BankHermes Growth Partners
2021-07-08Post Ipo Equity
2016-09-21IPO
2016-05-09Debt Financing· $125M
Leadership Team
Jeff Green
CEO
Mitch Waters
Senior Vice President of Client Service APAC
Recent News
2026-01-06
Company data provided by crunchbase